SOTAVerified

Robot Navigation

The fundamental objective of mobile Robot Navigation is to arrive at a goal position without collision. The mobile robot is supposed to be aware of obstacles and move freely in different working scenarios.

Source: Learning to Navigate from Simulation via Spatial and Semantic Information Synthesis with Noise Model Embedding

Papers

Showing 76100 of 542 papers

TitleStatusHype
DiSCO: Differentiable Scan Context with OrientationCode1
Robot Navigation in Constrained Pedestrian Environments using Reinforcement LearningCode1
Differential Viewpoints for Ground Terrain Material RecognitionCode1
Occupancy Anticipation for Efficient Exploration and NavigationCode1
Online Visual Place Recognition via Saliency Re-identificationCode1
BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal EstimationCode1
Object Goal Navigation using Goal-Oriented Semantic ExplorationCode1
Deep Reinforcement learning for real autonomous mobile robot navigation in indoor environmentsCode1
Occlusion-Aware Depth Estimation with Adaptive Normal ConstraintsCode1
Vector Field Guided Path Following Control: Singularity Elimination and Global ConvergenceCode1
One-Shot Informed Robotic Visual Search in the WildCode1
Visual Navigation Among Humans with Optimal Control as a SupervisorCode1
L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot NavigationCode1
Social Navigation with Human Empowerment driven Deep Reinforcement LearningCode1
Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth CuesCode1
Learning View and Target Invariant Visual Servoing for NavigationCode1
ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot NavigationCode1
MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic NavigationCode1
BADGR: An Autonomous Self-Supervised Learning-Based Navigation SystemCode1
CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature DescriptionCode1
BatVision: Learning to See 3D Spatial Layout with Two EarsCode1
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion FramesCode1
Interactive Gibson Benchmark (iGibson 0.5): A Benchmark for Interactive Navigation in Cluttered EnvironmentsCode1
TopoTag: A Robust and Scalable Topological Fiducial Marker SystemCode1
PyRobot: An Open-source Robotics Framework for Research and BenchmarkingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SemExpSPL0.25Unverified
2SRCB-robot-sudoerSPL0.12Unverified
3Active Exploration (Pre-explore )SPL0.11Unverified
4Blue OxSPL0.11Unverified
5RLSPL0.06Unverified
6Habitat-WebSPL0.03Unverified
7Objects In Mirror Are Closer Than They AppearSPL0Unverified
8CasaSPL0Unverified
9PPO RGBDSPL0Unverified
10Black SheepSPL0Unverified
#ModelMetricClaimedVerifiedStatus
1THDASPL0.09Unverified
26-Act TetherSPL0.08Unverified
3SRCB-robot-sudoerSPL0.07Unverified
4SemExpSPL0.07Unverified
5Active Exploration (Pre-explore )SPL0.04Unverified
6RGBD+DD-PPOSPL0.02Unverified
7RL_20_torch_18SPL0.02Unverified
8Blue OxSPL0.02Unverified
9Black SheepSPL0Unverified
10RandomAgentSPL0Unverified
#ModelMetricClaimedVerifiedStatus
1VOSPL0.53Unverified
2SLAM-net + D*SPL0.38Unverified
3OccupancyAnticipationSPL0.22Unverified
4Information BottleneckSPL0.12Unverified
5ego-localizationSPL0.12Unverified
639SPL0.01Unverified
7csoSPL0.01Unverified
8UCULabSPL0.01Unverified
9Habitat Team (RGBD+DD-PPO)SPL0Unverified
10RandomAgentSPL0Unverified
#ModelMetricClaimedVerifiedStatus
1VOSPL0.61Unverified
2OccupancyAnticipationSPL0.6Unverified
3DANSPL0.53Unverified
4Visual Odometry for Realistic PointGoal NavigationSPL0.5Unverified
5ego-localizationSPL0.31Unverified
6Information BottleneckSPL0.13Unverified
7AlstarSPL0.05Unverified
8RandomAgentSPL0Unverified
9UCULabSPL0Unverified